ny_times_us_counties
Data license: LICENSE · Data source: The New York Times · About: simonw/covid-19-datasette
67 rows where "date" is on date 2020-04-12 and state = "Pennsylvania" sorted by date descending
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Link | rowid | date ▲ | county | state | fips | cases | deaths |
---|---|---|---|---|---|---|---|
53005 | 53005 | 2020-04-12 | Adams | Pennsylvania | 42001 | 48 | 1 |
53006 | 53006 | 2020-04-12 | Allegheny | Pennsylvania | 42003 | 857 | 19 |
53007 | 53007 | 2020-04-12 | Armstrong | Pennsylvania | 42005 | 27 | 1 |
53008 | 53008 | 2020-04-12 | Beaver | Pennsylvania | 42007 | 145 | 13 |
53009 | 53009 | 2020-04-12 | Bedford | Pennsylvania | 42009 | 5 | 1 |
53010 | 53010 | 2020-04-12 | Berks | Pennsylvania | 42011 | 1035 | 20 |
53011 | 53011 | 2020-04-12 | Blair | Pennsylvania | 42013 | 10 | 0 |
53012 | 53012 | 2020-04-12 | Bradford | Pennsylvania | 42015 | 18 | 0 |
53013 | 53013 | 2020-04-12 | Bucks | Pennsylvania | 42017 | 1229 | 38 |
53014 | 53014 | 2020-04-12 | Butler | Pennsylvania | 42019 | 133 | 4 |
53015 | 53015 | 2020-04-12 | Cambria | Pennsylvania | 42021 | 13 | 1 |
53016 | 53016 | 2020-04-12 | Cameron | Pennsylvania | 42023 | 1 | 0 |
53017 | 53017 | 2020-04-12 | Carbon | Pennsylvania | 42025 | 102 | 3 |
53018 | 53018 | 2020-04-12 | Centre | Pennsylvania | 42027 | 70 | 0 |
53019 | 53019 | 2020-04-12 | Chester | Pennsylvania | 42029 | 562 | 17 |
53020 | 53020 | 2020-04-12 | Clarion | Pennsylvania | 42031 | 15 | 0 |
53021 | 53021 | 2020-04-12 | Clearfield | Pennsylvania | 42033 | 9 | 0 |
53022 | 53022 | 2020-04-12 | Clinton | Pennsylvania | 42035 | 8 | 0 |
53023 | 53023 | 2020-04-12 | Columbia | Pennsylvania | 42037 | 106 | 3 |
53024 | 53024 | 2020-04-12 | Crawford | Pennsylvania | 42039 | 15 | 0 |
53025 | 53025 | 2020-04-12 | Cumberland | Pennsylvania | 42041 | 110 | 3 |
53026 | 53026 | 2020-04-12 | Dauphin | Pennsylvania | 42043 | 229 | 4 |
53027 | 53027 | 2020-04-12 | Delaware | Pennsylvania | 42045 | 1594 | 39 |
53028 | 53028 | 2020-04-12 | Elk | Pennsylvania | 42047 | 2 | 0 |
53029 | 53029 | 2020-04-12 | Erie | Pennsylvania | 42049 | 39 | 1 |
53030 | 53030 | 2020-04-12 | Fayette | Pennsylvania | 42051 | 54 | 3 |
53031 | 53031 | 2020-04-12 | Forest | Pennsylvania | 42053 | 5 | 0 |
53032 | 53032 | 2020-04-12 | Franklin | Pennsylvania | 42055 | 64 | 0 |
53033 | 53033 | 2020-04-12 | Fulton | Pennsylvania | 42057 | 1 | 0 |
53034 | 53034 | 2020-04-12 | Greene | Pennsylvania | 42059 | 23 | 0 |
53035 | 53035 | 2020-04-12 | Huntingdon | Pennsylvania | 42061 | 10 | 0 |
53036 | 53036 | 2020-04-12 | Indiana | Pennsylvania | 42063 | 40 | 0 |
53037 | 53037 | 2020-04-12 | Jefferson | Pennsylvania | 42065 | 2 | 0 |
53038 | 53038 | 2020-04-12 | Juniata | Pennsylvania | 42067 | 38 | 0 |
53039 | 53039 | 2020-04-12 | Lackawanna | Pennsylvania | 42069 | 427 | 20 |
53040 | 53040 | 2020-04-12 | Lancaster | Pennsylvania | 42071 | 772 | 24 |
53041 | 53041 | 2020-04-12 | Lawrence | Pennsylvania | 42073 | 49 | 4 |
53042 | 53042 | 2020-04-12 | Lebanon | Pennsylvania | 42075 | 270 | 1 |
53043 | 53043 | 2020-04-12 | Lehigh | Pennsylvania | 42077 | 1684 | 18 |
53044 | 53044 | 2020-04-12 | Luzerne | Pennsylvania | 42079 | 1411 | 17 |
53045 | 53045 | 2020-04-12 | Lycoming | Pennsylvania | 42081 | 23 | 0 |
53046 | 53046 | 2020-04-12 | McKean | Pennsylvania | 42083 | 2 | 0 |
53047 | 53047 | 2020-04-12 | Mercer | Pennsylvania | 42085 | 40 | 0 |
53048 | 53048 | 2020-04-12 | Mifflin | Pennsylvania | 42087 | 12 | 0 |
53049 | 53049 | 2020-04-12 | Monroe | Pennsylvania | 42089 | 795 | 23 |
53050 | 53050 | 2020-04-12 | Montgomery | Pennsylvania | 42091 | 2164 | 68 |
53051 | 53051 | 2020-04-12 | Montour | Pennsylvania | 42093 | 29 | 0 |
53052 | 53052 | 2020-04-12 | Northampton | Pennsylvania | 42095 | 1082 | 23 |
53053 | 53053 | 2020-04-12 | Northumberland | Pennsylvania | 42097 | 37 | 0 |
53054 | 53054 | 2020-04-12 | Perry | Pennsylvania | 42099 | 16 | 1 |
53055 | 53055 | 2020-04-12 | Philadelphia | Pennsylvania | 42101 | 6352 | 128 |
53056 | 53056 | 2020-04-12 | Pike | Pennsylvania | 42103 | 212 | 6 |
53057 | 53057 | 2020-04-12 | Potter | Pennsylvania | 42105 | 4 | 0 |
53058 | 53058 | 2020-04-12 | Schuylkill | Pennsylvania | 42107 | 188 | 2 |
53059 | 53059 | 2020-04-12 | Snyder | Pennsylvania | 42109 | 20 | 1 |
53060 | 53060 | 2020-04-12 | Somerset | Pennsylvania | 42111 | 12 | 0 |
53061 | 53061 | 2020-04-12 | Sullivan | Pennsylvania | 42113 | 1 | 0 |
53062 | 53062 | 2020-04-12 | Susquehanna | Pennsylvania | 42115 | 25 | 1 |
53063 | 53063 | 2020-04-12 | Tioga | Pennsylvania | 42117 | 13 | 1 |
53064 | 53064 | 2020-04-12 | Union | Pennsylvania | 42119 | 19 | 0 |
53065 | 53065 | 2020-04-12 | Venango | Pennsylvania | 42121 | 6 | 0 |
53066 | 53066 | 2020-04-12 | Warren | Pennsylvania | 42123 | 1 | 0 |
53067 | 53067 | 2020-04-12 | Washington | Pennsylvania | 42125 | 68 | 0 |
53068 | 53068 | 2020-04-12 | Wayne | Pennsylvania | 42127 | 63 | 1 |
53069 | 53069 | 2020-04-12 | Westmoreland | Pennsylvania | 42129 | 223 | 12 |
53070 | 53070 | 2020-04-12 | Wyoming | Pennsylvania | 42131 | 9 | 0 |
53071 | 53071 | 2020-04-12 | York | Pennsylvania | 42133 | 307 | 3 |
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CREATE TABLE [ny_times_us_counties] ( [date] TEXT, [county] TEXT, [state] TEXT, [fips] INTEGER, [cases] INTEGER, [deaths] INTEGER ); CREATE INDEX [idx_ny_times_us_counties_state] ON [ny_times_us_counties] ([state]); CREATE INDEX [idx_ny_times_us_counties_county] ON [ny_times_us_counties] ([county]); CREATE INDEX [idx_ny_times_us_counties_fips] ON [ny_times_us_counties] ([fips]); CREATE INDEX [idx_ny_times_us_counties_date] ON [ny_times_us_counties] ([date] desc);